Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/115443
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dc.contributor.authorMaree, Stef C.-
dc.contributor.authorOrtiz Gracia, Luis-
dc.contributor.authorOosterlee, C. W. (Cornelis W.)-
dc.date.accessioned2017-09-15T08:50:29Z-
dc.date.available2018-08-31T22:01:23Z-
dc.date.issued2017-08-
dc.identifier.issn0029-599X-
dc.identifier.urihttp://hdl.handle.net/2445/115443-
dc.description.abstractWe present a pricing method based on Shannon wavelet expansions for early-exercise and discretely-monitored barrier options under exponential Lévy asset dynamics. Shannon wavelets are smooth, and thus approximate the densities that occur in finance well, resulting in exponential convergence. Application of the Fast Fourier Transform yields an efficient implementation and since wavelets give local approximations, the domain boundary errors can be naturally resolved, which is the main improvement over existing methods.-
dc.format.extent36 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherSpringer Verlag-
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1007/s00211-016-0858-2-
dc.relation.ispartofNumerische Mathematik, 2017, vol. 136, num. 4, p. 1035-1070-
dc.relation.urihttps://doi.org/10.1007/s00211-016-0858-2-
dc.rights(c) Springer Verlag, 2017-
dc.sourceArticles publicats en revistes (Econometria, Estadística i Economia Aplicada)-
dc.subject.classificationAnàlisi de Fourier-
dc.subject.classificationTransformacions (Matemàtica)-
dc.subject.classificationAnàlisi financera-
dc.subject.otherFourier analysis-
dc.subject.otherTransformations (Mathematics)-
dc.subject.otherInvestment analysis-
dc.titlePricing early-exercise and discrete barrier options by Shannon wavelet expansions-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/acceptedVersion-
dc.identifier.idgrec673313-
dc.date.updated2017-09-15T08:50:29Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

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